1. Model performance and technical details
Users repeatedly note that Voz is essentially an ANE‑optimized Parakeet v3 with custom inference, achieving extraordinary speed on Apple silicon.
- “It's an ANE optimized version of Parakeet, with our own inference, which enabled us to push performance to about 300x realtime speed on an iPhone 16/17. Our next gen Voz model is trained from scratch and will be at least twice as fast.” – pveugen
- “at first i got very excited about a new fast transcription model (voz) but turns out its just parakeet v3 with some new inference code which is macOS/iOS specific” – sipjca
2. Business model and licensing concerns
The free‑tier (≤100k MAU) and the rationale for ongoing payments spark debate over fairness and sustainability.
- “Every model is free up to 100k monthly active devices. No tokens, no logins…. I dunno about the business model though…. why should you continue getting money off me and my customers?” – 1dom
- “Because they own the IP and they get to decide the terms of how it’s licensed…. A 100K free device license is a generous gift to small companies.” – Aurornis
- “How is it not obvious and fair that they are asking you to pay them when you see success (defined as >100K MAU)?” – handfuloflight
3. Platform availability and cross‑platform desire
Many commenters want the models to run beyond iOS/macOS—on Android, web, Windows/Linux—and note the current iOS‑first focus as a limitation.
- “A lot of the models would be useful in a web context… but they look like most of them are iOS only, few have a node package… benchmarks on modern iPhones so I doubt it would be that fast on a 20$ VPS.” – ashenke
- “Just a few are iOS first (pure practical timing/sequencing). We plan to make all models available cross-platform in the coming weeks.” – pveugen
- “I wonder why they only support Apple platforms, citing CoreML. Doesn't Android have a similar framework, ML Kit?” – illright